Fault diagnosis method based on high precision CRPF under complex noise environment

doi:10.3745/JIPS.01.0053

	Fault diagnosis method based on high precision CRPF under complex noise environment
	Wang, Jinhua; Cao, Jie
刊名	Journal of Information Processing Systems
	2020-06-01
卷号	16 期号:3 页码:530-540
关键词	Failure analysis Adaptive ability Complex nonlinear system Cost reference particle filters (CRPF) Fault diagnosis method Sample impoverishment Simulation analysis State transitions Tracking accuracy
ISSN号	1976913X
DOI	10.3745/JIPS.01.0053
英文摘要	In order to solve the problem of low tracking accuracy caused by complex noise in the fault diagnosis of complex nonlinear system, a fault diagnosis method of high precision cost reference particle filter (CRPF) is proposed. By optimizing the low confidence particles to replace the resampling process, this paper improved the problem of sample impoverishment caused by the sample updating based on risk and cost of CRPF algorithm. This paper attempts to improve the accuracy of state estimation from the essential level of obtaining samples. Then, we study the correlation between the current observation value and the prior state. By adjusting the density variance of state transitions adaptively, the adaptive ability of the algorithm to the complex noises can be enhanced, which is expected to improve the accuracy of fault state tracking. Through the simulation analysis of a fuel unit fault diagnosis, the results show that the accuracy of the algorithm has been improved obviously under the background of complex noise. © 2020 KIPS.
WOS研究方向	Computer Science
语种	英语
出版者	Korea Information Processing Society, 1002ho Yongsungbiz tel, 314-1 2Ga Hankangro, Yongsan-gu, Seoul, 140-750, Korea, Republic of
WOS记录号	WOS:000577065400002
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/115131]
专题	电气工程与信息工程学院兰州理工大学
作者单位	College of Electrical and Information Engineering, Lanzhou University of Technology, Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, National Experimental Teaching Center of Electrical and Control Engineering, Lanzhou University of Technology, Lanzhou, China
推荐引用方式 GB/T 7714	Wang, Jinhua,Cao, Jie. Fault diagnosis method based on high precision CRPF under complex noise environment[J]. Journal of Information Processing Systems,2020,16(3):530-540.
APA	Wang, Jinhua,&Cao, Jie.(2020).Fault diagnosis method based on high precision CRPF under complex noise environment.Journal of Information Processing Systems,16(3),530-540.
MLA	Wang, Jinhua,et al."Fault diagnosis method based on high precision CRPF under complex noise environment".Journal of Information Processing Systems 16.3(2020):530-540.